Answer:
Step-by-step explanation:
y=-3/2x+5
Answer:
Type I error occurs when the null hypothesis, H0, is rejected, although it is true.
Here the null hypothesis, H0 is:
H0: Setting weekly scheduled online interactions will boost the well being of people who are living on their own during the stay at home order.
a) A Type I error would be committed if the researchers conclude that setting weekly scheduled online interactions will not boost the well being of people who are living on their own during the stay at home order, but in reality it will
b) Two factors affecting type I error:
1) When the sample size, n, is too large it increases the chances of a type I error. Thus, a sample size should be small to decrease type I error.
2)A smaller level of significance should be used to decrease type I error. When a larger level of significance is used it increases type I error.
Answer:
Either <u><em>26 or 21</em></u> depending on if you count the saved oranges or not.
Step-by-step explanation:
54 - 28 = 26
54 - 28 - 5 = 21
When given the scale factor, just multiply!
8cm * 2.5 = 20cm per side
The answer for this is 224
